TY - GEN
T1 - Compression of 3-D point clouds using hierarchical patch fitting
AU - Cohen, Robert A.
AU - Krivokuca, Maja
AU - Feng, Chen
AU - Taguchi, Yuichi
AU - Ochimizu, Hideaki
AU - Tian, Dong
AU - Vetro, Anthony
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - For applications such as virtual reality and mobile mapping, point clouds are an effective means for representing 3-D environments. The need for compressing such data is rapidly increasing, given the widespread use and precision of these systems. This paper presents a method for compressing organized point clouds. 3-D point cloud data is mapped to a 2-D organizational grid, where each element on the grid is associated with a point in 3-D space and its corresponding attributes. The data on the 2-D grid is hierarchically partitioned, and a Bezier patch is fit to the 3-D coordinates associated with each partition. Residual values are quantized and signaled along with data necessary to reconstruct the patch hierarchy in the decoder. We show how this method can be used to process point clouds captured by a mobile-mapping system, in which laser-scanned point locations are organized and compressed. The performance of the patch-fitting codec exceeds or is comparable to that of an octree-based codec.
AB - For applications such as virtual reality and mobile mapping, point clouds are an effective means for representing 3-D environments. The need for compressing such data is rapidly increasing, given the widespread use and precision of these systems. This paper presents a method for compressing organized point clouds. 3-D point cloud data is mapped to a 2-D organizational grid, where each element on the grid is associated with a point in 3-D space and its corresponding attributes. The data on the 2-D grid is hierarchically partitioned, and a Bezier patch is fit to the 3-D coordinates associated with each partition. Residual values are quantized and signaled along with data necessary to reconstruct the patch hierarchy in the decoder. We show how this method can be used to process point clouds captured by a mobile-mapping system, in which laser-scanned point locations are organized and compressed. The performance of the patch-fitting codec exceeds or is comparable to that of an octree-based codec.
KW - Mobile mapping systems
KW - Patch fitting
KW - Point cloud compression
UR - http://www.scopus.com/inward/record.url?scp=85045301906&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85045301906&partnerID=8YFLogxK
U2 - 10.1109/ICIP.2017.8297040
DO - 10.1109/ICIP.2017.8297040
M3 - Conference contribution
AN - SCOPUS:85045301906
T3 - Proceedings - International Conference on Image Processing, ICIP
SP - 4033
EP - 4037
BT - 2017 IEEE International Conference on Image Processing, ICIP 2017 - Proceedings
PB - IEEE Computer Society
T2 - 24th IEEE International Conference on Image Processing, ICIP 2017
Y2 - 17 September 2017 through 20 September 2017
ER -